add.mcmc                Convenient function to add results (i.e.
                        combine mcmc.list)
bipd-package            bipd: A package for individual patient data
                        meta-analysis using 'JAGS'
findMissingPattern      Find missing data pattern in a given data
generate_ipdma_example
                        Generate a simulated IPD-MA data for
                        demonstration
generate_ipdnma_example
                        Generate a simualted IPD-NMA data for
                        demonstration
generate_sysmiss_ipdma_example
                        Generate a simulated IPD-MA data with
                        systematically missing covariates
ipd.run                 Run the model using the ipd object
ipd.run.parallel        Run the model using the ipd object with
                        parallel computation
ipdma.impute            Impute missing data in individual participant
                        data with two treatments (i.e. placebo and a
                        treatment).
ipdma.model.deft.onestage
                        Make a (deft-approach) one-stage individual
                        patient data meta-analysis object containing
                        data, priors, and a JAGS model code
ipdma.model.onestage    Make an one-stage individual patient data
                        meta-analysis object containing data, priors,
                        and a JAGS model code
ipdnma.model.onestage   Make an one-stage individual patient data
                        network meta-analysis object containing data,
                        priors, and a JAGS model code
treatment.effect        Calculate patient-specific treatment effect
